PADS: A simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining

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dc.contributor.author Zeng, X
dc.contributor.author Pei, J
dc.contributor.author Wang, K
dc.contributor.author Li, J
dc.date.accessioned 2012-02-02T10:23:46Z
dc.date.issued 2009-01
dc.identifier.citation Knowledge And Information Systems, 2009, 20 (3), pp. 375 - 391
dc.identifier.issn 0219-1377
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/15227
dc.description.abstract While frequent pattern mining is fundamental for many data mining tasks, mining maximal frequent patterns efficiently is important in both theory and applications of frequent pattern mining. The fundamental challenge is how to search a large space of ite
dc.publisher Springer London Ltd
dc.relation.hasversion Accepted manuscript version
dc.relation.isbasedon 10.1007/s10115-008-0179-6
dc.title PADS: A simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining
dc.type Journal Article
dc.parent Knowledge And Information Systems
dc.journal.volume 3
dc.journal.volume 20
dc.journal.number 3 en_US
dc.publocation Artington en_US
dc.identifier.startpage 375 en_US
dc.identifier.endpage 391 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 112261
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords DISCOVERY en_US
dc.description.keywords DISCOVERY
dc.description.keywords DISCOVERY
dc.description.keywords DISCOVERY
dc.description.keywords DISCOVERY
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Health Technologies


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